#!/usr/bin/env python3
# ==============================================================================
# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
# PROJECT: SOVEREIGN STACK
# This artifact is entirely proprietary and cryptographically proven.
# Open-Source usage requires explicit permission from Brandon Scott Schneider.
# ==============================================================================
import json
import datetime
import sys
import os
from pathlib import Path

# Add project root to sys.path to import TSM_COMPILER
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
try:
    from TSM_COMPILER import TSM_Kernel
except ImportError:
    from TSM_COMPILER import TSM_Kernel

def mock_torch_tensor_to_logic_signal_substrate(tensor_shape, dtype, data_pointer_id):
    """
    Translates a PyTorch-like tensor signature into a native TSM matrix schema.
    """
    payload = {
        "active_systems": ["TORCH_TO_TSM_BRIDGE"],
        "state": {
            "tensor_matrix": {
                "shape": tensor_shape,
                "precision": dtype,
                "target_vram_buffer": data_pointer_id,
                "gpgpu_bindings": {
                    "compute_backend": "CUDA_OPENCL_HYBRID",
                    "matrix_multiplication": "tensor_cores_enabled",
                    "vibration_eigenmode_solver": "Lanczos_GPU_Accelerated"
                }
            }
        }
    }
    
    # Initialize Kernel and absorb
    kernel = TSM_Kernel(substrate="silicon")
    out_file = "torch_bridge_model.logic_signal_substrate.json"
    manifold_id = kernel.absorb(out_file, payload)
    
    return {
        "logic_signal_substrate_version": "v3.2-USAL",
        "isa_version": "ISA-v1",
        "manifold_id": manifold_id,
        "substrate_transparency": "ENABLED",
        "stability_metric": kernel.surface.stability_metric,
        "absorbed_state": kernel.manifold[out_file],
        "legacy_reference": {
            "bridge": "graph_os_torch_bridge",
            "original_version": "logic_signal_substrate/1"
        }
    }

def main():
    print("[ Graph OS COMPILER ] -> PyTorch Tensor to TSM Interop Loading...")
    # Mocking a torch tensor to translate
    shape = [32, 1024, 1024]
    dtype = "float64"
    pointer = "0x8F9B00A_CUDA"
    
    logic_signal_substrate_doc = mock_torch_tensor_to_logic_signal_substrate(shape, dtype, pointer)
    
    out_file = "torch_bridge_model.logic_signal_substrate.json"
    with open(out_file, 'w') as f:
        json.dump(logic_signal_substrate_doc, f, indent=4)
        
    print(f"[ OK ] Native PyTorch tensor dimensions {shape} [{dtype}] compiled to {out_file}.")
    print(f"[ OK ] USAL Manifold ID: {logic_signal_substrate_doc['manifold_id']}")

if __name__ == '__main__':
    main()